Unsupervised video summarization with deep reinforcement learning (AAAI'18)

Generate summary of any video 📺 anywhere and anytime

DSNet: A Flexible Detect-to-Summarize Network for Video Summarization

AAAI 2018 - Unsupervised video summarization with deep reinforcement learning (Theano)

A PyTorch reimplementation of FCSN in paper "Video Summarization Using Fully Convolutional Sequence Networks"

[ICCV2023] UniVTG: Towards Unified Video-Language Temporal Grounding

Entropy and Memorability Based Video Summarization

Course Project for CS771: Machine Learning

Official pytorch repository for "QD-DETR : Query-Dependent Video Representation for Moment Retrieval and Highlight Detection" (CVPR 2023 Paper)

AAAI 2018 - Unsupervised video summarization with deep reinforcement learning (PyTorch)

Official pytorch repository for CG-DETR "Correlation-guided Query-Dependency Calibration in Video Representation Learning for Temporal Grounding"

IMPLEMENT AAAI 2018 - Unsupervised video summarization with deep reinforcement learning (PyTorch)

Source code for the paper "Unsupervised Video Summarization via Multi-source Features" published at ICMR 2021

video summarization lstm-gan pytorch implementation

An unsupervised compressed-sensing technique for fundamental objects selection

Cloud-Assisted Multi-View Video Summarization using CNN and Bi-Directional LSTM

A new multi-shot video understanding benchmark Shot2Story with comprehensive video summaries and detailed shot-level captions.

Built by Avik Jain, Anish Nag, Sahas Dendukuri, Hari Senthilkumar, and Rishi Upadhyay at Angelhack Silicon Valley 2017.

Article and YouTube video summary from URL

The official code of "CSTA: CNN-based Spatiotemporal Attention for Video Summarization"